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Generative AI
Zenity Expands AI Agent Security Platform into U.S. Public Sector
Zenity, a leading end-to-end security and governance platform for AI agents, today announced its expansion into the public sector, targeting federal, defense, and civilian agencies. The move includes new strategic partnerships with government resellers and additional deployment options tailored for agencies rapidly scaling AI adoption. Read More
Russell AI Labs Launches to Back Enterprise-Grade Agentic AI with Inaugural Emergence AI Partnership
Russell AI Labs, a new platform dedicated to building and scaling frontier AI and technology companies, today announced its official launch alongside its first partnership with Emergence AI, a leading agentic AI company focused on enterprise applications. The move underscores a growing push to bring autonomous AI into mission-critical business operations. Read More
Akto Unveils Agentic Security Platform to Safeguard Enterprises from Rogue AI Agents
As AI agents move from experimental tools to production workhorses, enterprises are facing a security dilemma: how do you control systems that can act autonomously across APIs, tools, and sensitive data? Akto believes it has the answer. Today, the company announced the launch of the Agentic Security Platform, a purpose-built, end-to-end solution designed for the age of autonomous AI agents. Read More
Pollo AI Launches Wan 2.5 Video Model with Native Audio, Sharper AI-Generated Content
Pollo AI is taking AI video creation a step further with the launch of Wan 2.5, the latest model from Wan AI. Following in the footsteps of Veo 3, Wan 2.5 introduces native audio generation, letting creators automatically add scene-matching sound to their videos—or, for more control, integrate their own audio seamlessly. Read More
LatticeFlow AI Evaluation Shows Open-Source GenAI Models Can Be Enterprise-Secure
A new evaluation led by LatticeFlow AI, in collaboration with SambaNova, demonstrates that open-source GenAI models, when properly protected, can meet or even exceed the security standards of closed models. The findings suggest these models are now suitable for enterprise deployment—even in highly regulated sectors such as financial services. Read More
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